Evidence map›Paper›PMID 39524348›Full record

ArticleiScience2024

Serum human epididymis Protein-4 outperforms conventional biomarkers in the early detection of non-small cell lung cancer.

Mohammad Erfan Zare, Atefeh Nasir Kansestani, Xuanlan Wu, Lin Zhou, Jie Lu, Jun Huang, Yanzhong Wang, Yilei Ma, Yuzhen Gao, Jun Zhang

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Mohammad Erfan ZareDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Atefeh Nasir KansestaniDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Xuanlan WuDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Lin ZhouDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Jie LuDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Jun HuangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Yanzhong WangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Yilei MaDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Yuzhen GaoDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.
Jun ZhangDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We employed a three-step approach to evaluate serum immunoassay-based biomarkers for detecting non-small cell lung cancer (NSCLC). In the first step, we performed a systematic review and meta-analysis and implemented the Laboratory Medicine Best Practices (LMBP) method to identify potential biomarkers. From potential biomarkers, Carcinoembryonic antigen (CEA), cytokeratin 19-fragments (Cyfra 21-1), and human epididymis protein-4 (HE4) were categorized as LMBP "recommend." In the second step, we conducted matched-case-control validation on these recommended biomarkers and SAA, identified as the most accurate in the first step. In the third step, a re-meta-analysis was performed by integrating our experimental results and considering covariates. The final results revealed that HE4 emerged as the most reliable biomarker, offering balanced sensitivity and specificity, with accuracy unaffected by tumor stage, making it suitable for early diagnosis. Our findings support the inclusion of HE4 in clinical guidelines for NSCLC diagnosis, alongside well-established biomarkers such as Cyfra 21-1 and CEA.

Indexed as

CancerPathophysiology

Identifiers

PMID39524348
PMCPMC11550588

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.